Borami Shin

25 papers receiving 1.0k citations

Peers

Borami Shin
Comparison fields: 5 of 82
  • Clinical Biochemistry 191
  • Pathology and Forensic Medicine 203
  • Transplantation 24
  • Molecular Biology 628
  • Developmental Neuroscience 30
Replace Deborah R. Stein with:
Deborah R. Stein United States
Giuseppe Marotta Italy
Pauline Erpicum Belgium
Robert Chao United States
Frédéric Barbey Switzerland
Chengwen Li China
Mani Nathan Nair United States
Yasuhiro Katsube Japan
Robin Winkler Doroshow United States
Di Gu China
Borami Shin relative to Deborah R. Stein United States Deborah R. Stein's profile →
Citations per field
00.5×5×11.9×
Deborah R. Stein · 1×
Citations per year

Countries citing papers authored by Borami Shin

Since Specialization
Citations

This map shows the geographic impact of Borami Shin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Borami Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Borami Shin more than expected).

Fields of papers citing papers by Borami Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Borami Shin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Borami Shin. The network helps show where Borami Shin may publish in the future.

Co-authors

The 25 scholars most cited alongside Borami Shin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Borami Shin Line = papers co-authored together Borami Shin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018119
2 2019114
3 2019110
4 201895
5 202089
6 201988
7 201980
8 201979
9 201777
10 202060
11 202035
12 202024
13 201122
14 202017
15 201610
16 202110
17 20217
18 20175
19 20225
20 20174

About Borami Shin

Borami Shin is a scholar working on Pathology and Forensic Medicine, Surgery, Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (7 papers), Pluripotent Stem Cells Research (6 papers), Organ Transplantation Techniques and Outcomes (6 papers), Transplantation: Methods and Outcomes (5 papers), CRISPR and Genetic Engineering (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Immune Cell Function and Interaction (3 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Clinical Biochemistry (191 citations), Pathology and Forensic Medicine (203 citations), Transplantation (24 citations), Molecular Biology (628 citations) and Developmental Neuroscience (30 citations). Borami Shin has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Pedro J. del Nido, James D. McCully, Alvise Guariento, David Blitzer, Arzoo Orfany, Kamila Moskowitzova, Giovanna Ramirez-Barbieri, David Zurakowski, Ilias P. Doulamis and Douglas B. Cowan. Their work appears in journals such as The Annals of Thoracic Surgery, Stem Cell Research, The Journal of Heart and Lung Transplantation, American Journal of Transplantation and JACC Basic to Translational Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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